Google BigQuery vs. IBM Netezza Performance Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google BigQuery
Score 8.6 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$0
per month
IBM Netezza Performance Server
Score 8.0 out of 10
N/A
Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for PostgreSQL (IPS).N/A
Pricing
Google BigQueryIBM Netezza Performance Server
Editions & Modules
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
No answers on this topic
Offerings
Pricing Offerings
Google BigQueryIBM Netezza Performance Server
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google BigQueryIBM Netezza Performance Server
Top Pros
Top Cons
Features
Google BigQueryIBM Netezza Performance Server
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google BigQuery
8.5
51 Ratings
3% below category average
IBM Netezza Performance Server
-
Ratings
Automatic software patching8.117 Ratings00 Ratings
Database scalability8.851 Ratings00 Ratings
Automated backups8.524 Ratings00 Ratings
Database security provisions8.844 Ratings00 Ratings
Monitoring and metrics8.546 Ratings00 Ratings
Automatic host deployment8.113 Ratings00 Ratings
Best Alternatives
Google BigQueryIBM Netezza Performance Server
Small Businesses
SingleStore
SingleStore
Score 9.7 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.7 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
SingleStore
SingleStore
Score 9.7 out of 10
Oracle Exadata
Oracle Exadata
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google BigQueryIBM Netezza Performance Server
Likelihood to Recommend
8.6
(51 ratings)
9.3
(6 ratings)
Likelihood to Renew
7.0
(1 ratings)
-
(0 ratings)
Usability
9.4
(3 ratings)
-
(0 ratings)
Support Rating
10.0
(9 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
10.0
(1 ratings)
-
(0 ratings)
Professional Services
8.2
(2 ratings)
-
(0 ratings)
User Testimonials
Google BigQueryIBM Netezza Performance Server
Likelihood to Recommend
Google
For organizations looking to avoid the overhead of managing infrastructure, BigQuery's server-less architecture allows teams to focus on analyzing data without worrying about server maintenance or capacity planning. Small projects or startups with limited data analysis needs and tight budgets might find other solutions more cost-effective. Also, it is not suitable for OLTP systems.
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IBM
We can query the data source and treat multiple databases
as one with IBM Netezza Performance Server.



While delivering fast and reliable analytical performance, the IBM Netezza Performance Server requires minimal configuration and ongoing
management.



To drive organizational performance, Netezza Performance
Server automatically simplifies data and AI to centralize all analytics
activities on the device, exactly where the data resides.



For data processing and application dashboards, IBM Netezza
Performance Server is quite beneficial.





IBM Netezza Performance Server simplifies event setup
by notifying you when a hardware component fails, allowing you to quickly
replace it.
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Pros
Google
  • Its serverless architecture and underlying Dremel technology are incredibly fast even on complex datasets. I can get answers to my questions almost instantly, without waiting hours for traditional data warehouses to churn through the data.
  • Previously, our data was scattered across various databases and spreadsheets and getting a holistic view was pretty difficult. Google BigQuery acts as a central repository and consolidates everything in one place to join data sets and find hidden patterns.
  • Running reports on our old systems used to take forever. Google BigQuery's crazy fast query speed lets us get insights from massive datasets in seconds.
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IBM
  • IBM Netezza Performance Server enables capabilities to integrate with leading ETL solutions.
  • Data can be exported from the IBM Netezza Performance Server to a variety of formats, including Excel.
  • We can prioritize specific users and queries using IBM Netezza Performance Server.
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Cons
Google
  • Can't use it out of Google's cloud platform which is a minus point if you want a local setup.
  • Can be a little expensive to manage.
  • A little difficult to manage someone with less technical expertise as it requires you to have SQL knowledge of joins, CTEs etc.
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IBM
  • More tech support may make it easier as it is only limited to be done via company representatives
  • Overhead cost for replacements and services looks like it is high compared to others
  • Integration with other cloud based application will be great
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Likelihood to Renew
Google
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
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IBM
No answers on this topic
Usability
Google
web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
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IBM
No answers on this topic
Support Rating
Google
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
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IBM
No answers on this topic
Alternatives Considered
Google
Google's Firebase isn't a competitor but we had to use Google's BigQuery because Google's Firebase's database is limited compared to Google's BigQuery. Linking your Firebase project to BigQuery lets you access your raw, unsampled event data along with all of your parameters and user properties. Highly recommend connecting the two if you have a mobile app.
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IBM
Netezza is sufficient against similar products. It comes down to personal preference, I'd love to have the data objects popping up as I type but some people may not like it.
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Contract Terms and Pricing Model
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
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IBM
No answers on this topic
Professional Services
Google
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
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IBM
No answers on this topic
Return on Investment
Google
  • Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
  • Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
  • Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
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IBM
  • The appliance is all in one so we have all licenses and support contracts under one roof.
  • The cost is expensive so ROI may take time to be realized.
  • If done correctly, then Netezza provides the opportunity for huge ROI.
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